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Using Artificial Intelligence for the Detection of Respiratory Diseases Associated With Pollution
Sponsor: University of Medicine and Pharmacy "Victor Babes" Timisoara
Summary
Generating a picture at the city level, through geospatial and temporal grouping a lung diseases associated or exacerbated by pollution (COPD, AB and neoplasm pulmonary or pleural) and correlating this data with pollution data. Development of an accurate and prognostic HRCT imaging diagnostic tool, computer assisted in the mentioned pathology, by generating an algorithm capable of to detect early the follow-up tomographic imaging lesions, as well as to evaluate objective their speed of evolution. Validation of the proposed algorithm by comparison with medical diagnosis.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
30000
Start Date
2023-11-01
Completion Date
2025-03-31
Last Updated
2024-07-22
Healthy Volunteers
No
Conditions
Locations (1)
"Victor Babes" University Hospital
Timișoara, Timiș County, Romania